Validating the Literature

Validating the Literature

A verification of COVID-19's long-term effects through anomaly detection

Validating the Literature

A verification of COVID-19's long-term effects through anomaly detection

Devin Lim, Ponnu Soman, Duong Le, Lakshit Gupta

Background

Background

COVID reported death-toll: ~1,200,000[1]

Background

COVID reported death-toll: ~1,200,000[1]

Background

COVID reported death-toll: ~1,200,000[1]

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→ Unfortunately... there's more

What the Literature Says

What the Literature Says

  • Measurable effects long after the initial infection
    • Over a quarter of patients have symptoms 6 months after the infection
  • Damages every part of the body
    • Brain
    • Lungs
    • Heart
    • Kidneys
    • And more..

→ How?

Mechanism

Mechanism

  1. Damage to the mitochondria

Mechanism

  1. Damage to the mitochondria → necroptosis

Mechanism

  1. Damage to the mitochondria → necroptosis → organ damage

Mechanism

  1. Damage to the mitochondria → necroptosis → organ damage
  2. Excessive immune response

    Mechanism

    1. Damage to the mitochondria → necroptosis → organ damage
    2. Excessive immune response → inflammation & blood clots

      Mechanism

      1. Damage to the mitochondria → necroptosis → organ damage
      2. Excessive immune response → inflammation & blood clots → more organ damage

        Mechanism

        1. Damage to the mitochondria → necroptosis → organ damage
        2. Excessive immune response → inflammation & blood clots → more organ damage
          • Blood clots → stroke

        Mechanism

        1. Damage to the mitochondria → nectroptosis → organ damage
        2. Excessive immune response → inflammation & blood clots → more organ damage
          • Blood clots → stroke

        → Seems... worrying

        The Big Question:

        The Big Question:

        Are the claims true?

        Methodology

        Methodology

        A little revisit:

        Methodology

        A little revisit:

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        Is this accurate?

        Is this accurate?

        How is it counted anyway?

        Death Certificates

        Death Certificates

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        Any mention of COVID == 1 count

        Problems?

        Problems?

        • Human Error
        • Indirect, delayed deaths
        • Inconsistency between jurisdictions
        • Limited testing capacity, especially early in the pandemic
        • And so on...

        → Underreporting!

        Solution?

        Solution?

        Excess Mortality

        Excess Mortality

        Idea: Death rate is fairly constant year-over-year

        Excess Mortality

        Idea: Death rate is fairly constant year-over-year

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        Excess Mortality

        Steps:

        1. Ignore reported count
        2. Calculate expected deaths
        3. Compare with actual deaths

        Result:

        1. A sudden, drastic increase in deaths
        2. Pattern follows reported deaths
        3. An undercount of ~200,000!
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        → Can we do the same with other diseases?

        Data Methodology

        Data Methodology

        1. Data Sourcing

        2. Data Cleaning

        3. Prediction Methods

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Chronic Health Indicators

        Behavioral Risk Factor Surveillance System

        • Respiratory diseases
        • Cardiovascular diseases
        • Depression
        • Diabetes
        • Kidney
        • Cancer

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Chronic Health Indicators

        Behavioral Risk Factor Surveillance System

        • Respiratory diseases
        • Cardiovascular diseases
        • Depression
        • Diabetes
        • Kidney
        • Cancer

        Prevalence of Disability Status and Types

        Disability and Health Data System

        • Overall disability rates
        • Breakdown by disability types

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Chronic Health Indicators

        Behavioral Risk Factor Surveillance System

        • Respiratory diseases
        • Cardiovascular diseases
        • Depression
        • Diabetes
        • Kidney
        • Cancer

        Prevalence of Disability Status and Types

        Disability and Health Data System

        • Overall disability rates
        • Breakdown by disability types

        Daily COVID-19 Vaccines Administered

        Our World in Data + CDC

        • Vaccines

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Chronic Health Indicators

        Behavioral Risk Factor Surveillance System

        • Respiratory diseases
        • Cardiovascular diseases
        • Depression
        • Diabetes
        • Kidney
        • Cancer

        Prevalence of Disability Status and Types

        Disability and Health Data System

        • Overall disability rates
        • Breakdown by disability types

        Daily COVID-19 Vaccines Administered

        Our World in Data + CDC

        • Vaccines

        Deaths Involving Coronavirus Disease

        Department of Health & Human Services

        • COVID death-toll

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Standard stuff: filtering, renaming, grouping, sorting

        brfss_filters = {
            "Locationabbr": ["UW"],
            "Topic": [
                "Asthma",
                "COPD",
                ...
            ],
            "Response": ["Yes"],
        }

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Standard stuff: filtering, renaming, grouping, sorting

        brfss_filters = {
            "Locationabbr": ["UW"],
            "Topic": [
                "Asthma",
                "COPD",
                ...
            ],
            "Response": ["Yes"],
        }
        brfss_col_renames = {
            "Locationabbr": "LocationAbbr",
            "Data_value": "DataValue",
            ...
        }

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Standard stuff: filtering, renaming, grouping, sorting

        brfss_filters = {
            "Locationabbr": ["UW"],
            "Topic": [
                "Asthma",
                "COPD",
                ...
            ],
            "Response": ["Yes"],
        }
        brfss_col_renames = {
            "Locationabbr": "LocationAbbr",
            "Data_value": "DataValue",
            ...
        }
        brfss_val_renames = {
            "Question": {
                "Adults who have been told they currently have asthma (variable calculated from one or more BRFSS questions)": "Current Asthma",
                "Ever told you had angina or coronary heart disease?": "Coronary Heart Disease",
                ...
            },
            "Topic": {
                "Asthma": "Respiratory Diseases",
                "COPD": "Respiratory Diseases",
                "Other Cancer": "Cancer",
            },
        }

        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Spline

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        Data Methodology

        Data Sourcing

        Data Cleaning

        Prediction Methods

        Spline

        No description has been provided for this image

        Time Series

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        Chronic Health Indicators

        • JACI: There is evidence that COVID-19 increases the risk of developing asthma
        • We were not able to find evidence of a causal link between COVID-19 and COPD
        • American Heart Association: There is evidence that COVID-19 causes lasting heart damage and increases the risk of stroke and heart attack
        • Yale: There is strong evidence of significant increases in brain-related symptoms after a COVID-19 infection. Depression is one such symptom.
        • Cedars-Sinai Medical Center: There is strong evidence that COVID-19 increases the risk of new-onset (type 2) diabetes
        • Nature: There is strong evidence that COVID-19 increases the risk of CKD
        • Yale: Confirmed the evidence, but also found that CKD developed due to COVID-19 recovered faster
        • We found mixed literature on the causal link between COVID-19 and Cancer

        Disability

        • Center for American Progress: By the end of 2021, 1.2 million more disabled americans

        Vaccine

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        Conclusion¶

        Conclusion¶

        • Vaccine works!
          • Many sources also report that vaccines reduce the risk of long-COVID symptoms
        • All-time highs for: disability, CKD, diabetes, depression, asthma, and non-skin cancers
        • Agreed with the literature on: disability, CKD, diabetes, depression, and asthma

        Sources will be available in our report